Data Statistician Job Description

Data Statistician Job Description

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Data statistician provides solutions to business & systems problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics.

Data Statistician Duties & Responsibilities

To write an effective data statistician job description, begin by listing detailed duties, responsibilities and expectations. We have included data statistician job description templates that you can modify and use.

Sample responsibilities for this position include:

Machine learning models to solve problems related to segmentation and clustering data collection systems that optimize statistical efficiency and data quality
Working closely with multi-disciplinary teams (PIs, survey methodologists) to ensure a complete review of the data, providing a thorough understanding of data management processes for that study and issues that may arise in analysis from beginning to end of the study
Projects may include testing strategy development for marketing initiatives, supporting product lifecycle decisions, evaluating product utilization, supporting fraud detection
Will also work closely with the in-house statisticians
Finally, the Data Statistician(s) will collaborate with the Business Analyst(s) to better understand the business domain
Understand fundamentals of privacy / data protection law as is relates to use of clinical data for secondary purposes
As a trial biostatistician for statistically routine clinical trials, with limited direction provide statistical input for concept sheet/protocol/CRF development (e.g., trial design
As a trial biostatistician for statistically complex clinical trials, with direction provide statistical input for concept sheet/protocol/CRF development, write medical and statistical supervision plans, write statistical analysis plans, provide analysis dataset specifications, and perform statistical analyses
For integrated safety and efficacy summaries for regulatory submissions, with direction write statistical analysis plans and perform statistical analyses
For statistically routine clinical trials, with limited direction write comprehensive statistical methods sections for the clinical trial reports

Data Statistician Qualifications

Qualifications for a job description may include education, certification, and experience.

Education for Data Statistician

Typically a job would require a certain level of education.

Employers hiring for the data statistician job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Mathematics, Science, Economics, Education, Computer Science, Technical, Engineering, Biostatistics, Business

Skills for Data Statistician

Desired skills for data statistician include:

Bayesian methods
Marketing and operations problems
R
Risk modelling
Statistics to solve practical QVC commerce
Statistics
Python
Research function
Machine learning
SAS

Desired experience for data statistician includes:

Undergraduate degree in a quantitative discipline
Advanced experience in SPSS or equivalent statistical package
Advanced Microsoft Excel skills (ex
Bachelor’s statistical/mathematical degree required
Proficiency in Microsoft Excel and Microsoft Access required
Minimum of 7 years of experience with massive data sets (Big Data), with experience building analytic products

Data Statistician Examples

1

Data Statistician Job Description

Job Description Example
Our company is growing rapidly and is looking to fill the role of data statistician. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data statistician
  • Producing clear, concise, and impactful presentation charts, graphs, and tables from statistical analyses and simulation studies to team members
  • For statistically complex clinical trials, with direction write comprehensive statistical methods sections for the clinical trial reports
  • May validate statistical output as required
  • Provide statistical support for manuscripts and review manuscripts for accurate statistical interpretation
  • Participate effectively on clinical trial teams
  • With direction, plan, communicate, and implement the surveillance of the statistical activities performed by a Contract Research Organization
  • Exhibit routine and complex problem solving skills
  • Keep abreast of statistical developments
  • Communicate routine and complex statistical concepts and results to non-statistical internal and external colleagues in a clear, concise, focused and articulate manner
  • Understand and follow all Global Biostatistics WIs/SOP any other relevant WIs/SOPs
Qualifications for data statistician
  • Bachelor’s degree in math, statistics, operations research, economics, or a related quantitative discipline
  • 2+ years of experience conducting quantitative analysis (e.g., regression, time series analyses, ANOVA, techniques for dealing with missing data)
  • Experience with methods from operations research (e.g., decision and risk analysis, Monte Carlo simulation, sensitivity analysis, and optimization)
  • 2+ years of experience conducting research and design of business systems and processes
  • Skill in managing multiple projects and stakeholder interests with timeliness, accuracy, and quality
  • Minimum 2 years of prior data science or engineering experience in forecasting, time series analysis, and econometrics
2

Data Statistician Job Description

Job Description Example
Our innovative and growing company is hiring for a data statistician. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data statistician
  • Obtains appropriate supporting CDRL information from Subcontractors through the Subcontracts Manager
  • Prepare and disseminate information to appropriate employees regarding CDRL status
  • Provide Status briefings to Program Management on CDRL deliverables and any associated action items
  • Creates reports, presentations, and supports the PM in the preparation for weekly meetings with the COR and the DoS INL Program Director
  • Play key role in preparing methods and analysis sections of the manuscripts that will report study findings
  • Serves as PI or co-PI for coordinating centers of multi-site projects
  • Design and execute high-impact research studies for new concept testing by applying state-of-the-art proprietary technology
  • Perform day-to-day activities to support Internal Audit’s Data Analytics Program including documentation of work performed by him/her
  • Work with information technology/business unit teams to identify and extract data
  • Supports the audit management team to identify options to extract data from disparate sources (mainframe, relational database)
Qualifications for data statistician
  • Excellent software development skills in of C, C++, Java, Python, or similar
  • Familiarity with relational database implementations and SQL - Experience with time series functionality in Vertica a plus
  • Experience with time series databases such as InfluxDB, OpenTSDB, KairosDB, Druid, KDB+ or similar is a plus
  • You have earned an outstanding Master degree in statistics or data analytics, in business or natural sciences or in engineering with a strong quantitative focus
  • 4+ years of experience in applying statistical tools like R to real-world problems
  • You are comfortable working in multinational interdisciplinary and newly set-up teams
3

Data Statistician Job Description

Job Description Example
Our company is growing rapidly and is looking for a data statistician. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data statistician
  • Work with Oklahoma State University to develop machine learning algorithms to improve decision making process
  • Interacts with internal stakeholders from several different teams, such as operational areas, risk management, information security, development, and compliance to validate understanding of the information being analyzed
  • Proactively seeks training and developmental activities related to the industry and recommends for self and others, as appropriate
  • Assist with the development of standards, processes, and procedures for the department relating to Data Analytics
  • Typically serves as a member of the research network steering committee and serves as the primary liaison with the data and safety monitoring committee and any network advisory boards
  • Provides senior leadership for aspects of the project including study design, protocol development, study implementation, quality control, preliminary and final data analysis, and presentation of study results
  • Maintains effective liaison with funding officials, collaborators from universities and other organizations, laboratories, clinical centers, and specimen storage facilities
  • Leads development of grant, cooperative agreement and contract proposals
  • Leads development of manuscripts for refereed journals
  • Presents research findings at scientific conferences
Qualifications for data statistician
  • You are comfortable working in multinational interdisciplinary teams and preferably already gained international experience and like working in a newly set-up team
  • Furthermore, you are a creative and motivated team player with strong communication and presentation skills in English and Mandarin
  • Be willing to travel up to 10% (incl
  • Experience working in a data warehouse environment with exposure to INFORMATICA, Redshift and Teradata
  • Bachelors or Master’s degree in a related field (Math, Scientific, Economics, Statistics)
  • 5+ years’ experience manipulating large and complex datasets
4

Data Statistician Job Description

Job Description Example
Our growing company is hiring for a data statistician. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data statistician
  • Monitors study resources and budgets
  • Designing the study
  • Overview and interpretation of the findings
  • Interpret data, analyze results using statistical techniques and develop reports and analysis outputs
  • Develop and implement Statistical models to answer specific business questions
  • Heuristic and statistical algorithms for outlier identification from datasets
  • Multivariate models and predictive models to assess clinical study risks
  • Identify, analyze, and interpret trends or patterns in complex data sets including methods of sample segmentation
  • Applies business analytics and customer segmentation techniques in any corporate function, operations analysis, forecasting analytics, marketing analytics, consumer analytics or other relevant fields
  • Process and combine datasets for analysis from spreadsheets, network databases, or electronic data capture systems
Qualifications for data statistician
  • 5+ years’ experience using SQL (preferably MS SQL)
  • 5+ years’ experience writing complex SQL queries
  • Demonstrated ability applying advanced statistical modeling techniques to solve problems
  • Knowledge of statistics, econometrics, and other quantitative methods
  • 2+ years machine learning algorithm development
  • 2+ years Mongo or Hadoop or other non SQL DB
5

Data Statistician Job Description

Job Description Example
Our company is hiring for a data statistician. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data statistician
  • Conducting and participating in assigned projects under general supervision and within time and budget constraints
  • Support the analytical development of UK Underwriting teams through data gathering, analysis and modelling under the direction of a more senior statistician
  • Demonstrate increasing knowledge of statistical techniques and procedures, including trend analysis, profiling and predictive modelling, to be able to provide first class service to external and internal customers
  • Work closely with the data team to steer the development of the analytical capability
  • Shares knowledge with other members of the analytics team
  • Develop and perform attrition analysis, time-series and survival models
  • Create stored procedures to automate data processes
  • Optimize database queries to produce results in shorter amounts of times
  • Utilize Natural Language Processing and text mining to perform Sentiment Mining and Analysis
  • Forecast and develop future customer segmentation based on various dimensions
Qualifications for data statistician
  • FinTech experience
  • Passion for model building, predictive modeling and/or machine learning
  • Superior organizational skills, be self-driven with attention to detail and follow-through on tasks
  • Creativity combined with innovation and constantly looking for ways to win
  • Commitment to collaboration with a “can do” attitude and believe that anything is possible with the right focus and the right team
  • Highly proficient in the details of the products he/she has been involved with, but still provides creative improvement suggestions (contributions) to the definition of new products

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